Cohort bias in predictive risk assessments of future criminal justice system involvement-Reference-Cited by-同舟云学术

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Cohort bias in predictive risk assessments of future criminal justice system involvement

Published:2023-05-31 Issue:24 Volume:120 Page:
ISSN:0027-8424
Container-title:Proceedings of the National Academy of Sciences
language:en
Short-container-title:Proc. Natl. Acad. Sci. U.S.A.

Author:

Ludwig Jens¹,Kleinberg Jon²,Mullainathan Sendhil³^ORCID

Affiliation:

1. Harris School of Public Policy, University of Chicago and National Bureau of Economic Research (NBER), Chicago, IL 60637

2. Department of Computer Science, Cornell University, Ithaca, NY 14853

3. Booth School of Business, University of Chicago and National Bureau of Economic Research (NBER), Chicago, IL 60637

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

Link

https://pnas.org/doi/pdf/10.1073/pnas.2307285120

Reference18 articles.

1. J. Angwin J. Larson S. Mattu L. Kirchner “Machine bias” Pro Publica posted May 23 (2016).

2. Beyond prediction: Using big data for policy problems

3. Danger ahead: Risk assessment and the future of bail reform;Koepke J. L.;Washington Law Rev.,2018

4. Dissecting racial bias in an algorithm used to manage the health of populations

5. M.-P. Grimon C. Mills The impact of algorithmic tools on child protection: Evidence from a randomized controlled trial (Princeton University working paper 2022).

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